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Neev Group Of Companies
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Senior AI/ML Solutions Architect- AWS, AWS Bedrock

Senior AI/ML Solutions Architect- AWS, AWS Bedrock

Neev Group Of Companies

8 - 13 years

25 - 35 Lacs

pune

Posted:None| Platform:

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Skills Required

cloud security devops agile infrastructure sez microsoft aws solution architect monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title: Senior AI/ML Solutions Architect

Country: India

grafTotal Experience: 8+ years

Relevant Experience: Minimum 6+ years

Domain: Capital Markets

Job Description

We are seeking an experienced Senior AI/ML Solutions Architect with deep expertise in AWS AI/ML services, cloud-native architectures, and enterprise-scale AI solution development. The ideal candidate will have strong skills in designing and implementing RAG-based architectures , LLM integration , and multi-cloud GenAI solutions with a focus on scalability, security, and cost-effectiveness.

Roles and Responsibilities

Architect, design, and develop enterprise-scale AI/ML solutions across cloud platforms.
Utilize AWS services such as Bedrock , SageMaker , Lambda , API Gateway , and EKS to deliver advanced AI capabilities.
Implement RAG-based architectures, LLM integrations, and vector databases for GenAI solutions.
Write high-quality code using Python , and manage cloud deployments with Terraform , Harness , and IaC best practices.
Ensure cloud security using IAM policies, security frameworks, and compliance standards in hybrid and multi-cloud setups.
Integrate AWS Bedrock with Azure OpenAI and hybrid AI gateway solutions.
Monitor and optimize AI solutions using observability tools like CloudWatch , Grafana , or Datadog .
Work in Agile/DevOps environments with CI/CD pipelines for rapid and reliable delivery.
Collaborate with onsite teams across geographies to ensure alignment and timely delivery.

Mandatory Skills

AWS, AWS Bedrock, AI/ML frameworks
SageMaker, Lambda, API Gateway, EKS
Python, Terraform, Harness, IaC (Infrastructure as Code)

Desired Skills

CloudWatch, Grafana, Datadog
Azure OpenAI, Hybrid AI Gateway Solutions
DevOps practices

Additional Details

Work Location: Pune Phase 2 / Hyderabad SEZ / Chandigarh SEZ (No WFH)
Mode of Interview: Microsoft Teams Video
Work Mode: WFO 5 days per week
Certification: AWS Certified Solutions Architect Professional (Highly Preferred)
Shift: Regular Day Shift
Business Travel: No
BGV: Required before onboarding (FADV)

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Senior AI/ML Solutions Architect- AWS, AWS Bedrock